Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations
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This work focusses on extending the deep compartment model (DCM) framework to the estimation of mixed-effects. By introducing random effects, model predictions can be personalized based on drug measurements, enabling the testing of different treatment schedule... ...
